Meta 3D Gen: A state-of-the-art Text-to-3D Asset Generation Pipeline with Speed, Precision, and Superior Quality for Immersive Applications

PixelLLM, a new vision-language model introduced by Google Research and UC San Diego, achieves fine-grained localization and alignment by aligning each word of the language model output to a pixel location. It supports diverse vision-language tasks,…

The model offers significantly improved performance, achieving a breakthrough in understanding long-context information across different modalities.

Researchers from Fudan University, Ohio State University, and Pennsylvania State University, Meta AI, have developed TravelPlanner, an AI benchmark to evaluate agents’ planning skills in realistic scenarios. It challenges AI agents to plan multi-day travel itineraries,…

Practical Solutions for Text Retrieval Importance of Hard-Negative Mining Text retrieval is crucial for applications like searching, question answering, and item recommendation. Hard-negative mining methods play a key role in improving the performance of text retrieval…

Luke Farritor, a computer science student at the University of Nebraska–Lincoln, has used machine learning to decipher a carbonized scroll from ancient Herculaneum that was previously unreadable. His algorithm identified Greek letters on the papyrus, including…

The rapid adoption of OpenAI’s ChatGPT, a revolutionary AI innovation by Google Cloud, has raised concerns about its increasing energy consumption. A peer-reviewed analysis predicts that by 2027, AI servers could consume between 85 to 134…

The Four Components of a Generative AI Workflow: Human, Interface, Data, and LLM Human Humans are crucial in training, supervising, and interacting with AI systems. Their expertise and creativity, training and supervision, and user interaction play…

Understanding Agency in AI What is Agency? Agency is the ability of a system to achieve specific goals. This study highlights that how we assess agency depends on the perspective we use, known as the reference…

Researchers have developed MAGNET, a new non-autoregressive approach for audio generation that operates on multiple streams of audio tokens using a single transformer model. This method significantly speeds up the generation process, introduces a unique rescoring…

Understanding EWE: A Breakthrough in AI Text Generation What are Large Language Models (LLMs)? LLMs have transformed how we generate text. However, they often produce incorrect information, especially in long texts. This issue is known as…

Samsung Electronics held the Samsung AI Forum 2023 to discuss generative AI and its impact on daily life and work. Samsung Research introduced its generative AI model, Samsung Gauss, highlighting the company’s commitment to this technology.…

Understanding Large Language Models (LLMs) Large language models (LLMs) can understand and create text that resembles human language. However, they struggle with mathematical reasoning, especially in complex problems that require logical, step-by-step thinking. Enhancing their mathematical…

Understanding Model Merging with KnOTS What is Model Merging? Model merging is a technique that combines the strengths of different models to create a more versatile model capable of handling multiple tasks. This process allows for…

TinyGPT-V is a novel multimodal large language model aiming to balance high performance with reduced computational needs. It integrates a 24G GPU for training and an 8G GPU/CPU for inference, leveraging Phi-2 language backbone and pre-trained…

Practical Solutions for Terminal-Based UI Development Challenges of Terminal-Based UI Development Developing complex, interactive applications for the terminal can be challenging. Traditional tools often lack the necessary features for creating sophisticated user interfaces. Introducing Textual: A…

Bridging Language and Cultural Gaps with PANGEA Recent advancements in large language models have mostly focused on English and Western datasets, leading to a lack of representation for many languages and cultures. This inequity limits the…

Recent advancements in large language model (LLM) design have improved few-shot learning and reasoning capabilities. However, limitations remain when dealing with complex real-world contexts. To address this, retrieval augmented generation (RAG) systems integrating LLMs with scalable…

Porto Alegre’s council passed a law written entirely by ChatGPT on stolen water meter charges, unveiled by Councilman Ramiro Rosário after unanimous approval. His nondisclosure aimed to provoke AI usage debates in legislation, amidst similar AI…